Semantic labeling is an active field in remote sensing applications. Although handling high detailed objects in Very High Resolution (VHR) optical image and VHR Digital Surface Model (DSM) is a challenging task, it can improve the accuracy of semantic labeling methods. In this paper, a semantic labeling method is proposed by fusion of optical and normalized DSM data. Spectral and spatial featur...

In this paper, a novel algorithm which integrates the RGB color histogram and texture features for content based image retrieval. A new set of twodimensional (2-D) M-band dual tree complex wavelet transform (M_band_DT_CWT) and rotated M_band_DT_CWT are designed to improve the texture retrieval performance. Unlike the standard dual tree complex wavelet transform (DT_CWT), which gives a logarithm...

Rice lodging identification relies on manual in situ assessment and often leads to a compensation dispute in agricultural disaster assessment. Therefore, this study proposes a comprehensive and efficient classification technique for agricultural lands that entails using unmanned aerial vehicle (UAV) imagery. In addition to spectral information, digital surface model (DSM) and texture informatio...

Scene classification plays an important role in understanding high-resolution satellite (HRS) remotely sensed imagery. For remotely sensed scenes, both color information and texture information provide the discriminative ability in classification tasks. In recent years, substantial performance gains in HRS image classification have been reported in the literature. One branch of research combine...

Terrain representation is one of the most common tasks in visualization of geoinformation. In order to realistically visualize the real landscape, several issues have to be addressed, in particular, how to combine terrain meshes and texture images. In this paper, Level of Detail (LoD) is used to treat both terrain meshes and texture images for producing realistic visualization with better perfo...

Real world surfaces such as tree bark, moss, sponge, and fur often have complicated geometry that leads to effects such as self-shadowing, masking, specularity, and interreflection as the lighting or viewpoint in a scene changes. We use image based techniques to analyze and represent bidirectional texture functions, or BTFs, with correct geometric and lighting effects. A basis for the apparent ...

ABSTRACT- To study the effect of tree roots on increasing water infiltration in soil and also to determine and assess the coefficients of different infiltration models, some infiltration tests were performed in three tree plantation areas in Badjgah, Fars province with different soil textures (clay loam for pear plantation, sandy loam for grape plantation, loamy sand for pine trees). In each pl...

Iris recognition is most often used for security related applications and mainly suffer from illegal attacks. So an iris recognition system that identifies the fake iris image are much needed. In this paper, we present a novel iris texture representation method called Hierarchical Visual Codebook (HVC) is proposed to encode the texture primitives of iris images and are used for identifying the ...

Appearance description is a relevant field in computer vision that enables object recognition in domains as re-identification, retrieval and classification. Important cues to describe appearance are colors and textures. However, in real cases, texture detection is challenging due to occlusions and to deformations of the clothing while person’s pose changes. Moreover, in some cases, the processe...